Htay-Wah Saw

482 total citations · 1 hit paper
14 papers, 312 citations indexed

About

Htay-Wah Saw is a scholar working on Sociology and Political Science, General Health Professions and Political Science and International Relations. According to data from OpenAlex, Htay-Wah Saw has authored 14 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 3 papers in General Health Professions and 2 papers in Political Science and International Relations. Recurrent topics in Htay-Wah Saw's work include Survey Methodology and Nonresponse (4 papers), Migration and Labor Dynamics (3 papers) and Asian Geopolitics and Ethnography (2 papers). Htay-Wah Saw is often cited by papers focused on Survey Methodology and Nonresponse (4 papers), Migration and Labor Dynamics (3 papers) and Asian Geopolitics and Ethnography (2 papers). Htay-Wah Saw collaborates with scholars based in United States, Poland and Germany. Htay-Wah Saw's co-authors include Wändi Bruine de Bruin, Dana P. Goldman, Arie Kapteyn, Mark Hamer, James Banks, James P. Smith, Arthur van Soest, Andrew Steptoe, Annemarie Koster and Marco Angrisani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Epidemiology & Community Health.

In The Last Decade

Htay-Wah Saw

11 papers receiving 304 citations

Hit Papers

Political polarization in US residents’ COVID-19 risk per... 2020 2026 2022 2024 2020 50 100 150

Peers

Htay-Wah Saw
Comparison fields: 5 of 79
  • Sociology and Political Science 126
  • Health 80
  • Clinical Psychology 76
  • Economics and Econometrics 55
  • General Health Professions 51
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Citations per field, relative to Htay-Wah Saw
Htay-Wah Saw · 1×
Citations per year, relative to Htay-Wah Saw
Htay-Wah Saw · 1×

Countries citing papers authored by Htay-Wah Saw

Since Specialization
Citations

This map shows the geographic impact of Htay-Wah Saw's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Htay-Wah Saw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Htay-Wah Saw more than expected).

Fields of papers citing papers by Htay-Wah Saw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Htay-Wah Saw. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Htay-Wah Saw. The network helps show where Htay-Wah Saw may publish in the future.

Co-authorship network of co-authors of Htay-Wah Saw

This figure shows the co-authorship network connecting the top 25 collaborators of Htay-Wah Saw. A scholar is included among the top collaborators of Htay-Wah Saw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Htay-Wah Saw. Htay-Wah Saw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 1
3 3
4 7
5 4
6 4
7 24
8
Political polarization in US residents’ COVID-19 risk perceptions, policy preferences, and protective behaviors breakdown →
190
9 14
10 3
11 52
12 9
13 0
14 1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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